GenAI Senior Staff Machine Learning Engineer, Platform - Databricks

P-984

Founded in late 2020 by a small group of machine learning researchers, Mosaic AI enables companies to create state-of-the-art AI models from scratch on their own data. From a business perspective, Mosaic AI is committed to the belief that a company’s AI models are just as valuable as any other core IP, and that high-quality AI models should be available to all. From a scientific perspective, Mosaic AI is committed to reducing the cost of training state-of-the-art models - and sharing our knowledge about how to do so with the world - to allow everyone to innovate and create models of their own.

Now part of Databricks since July 2023 as the GenAI Team, we are passionate about enabling our customers to solve the world's toughest problems by building and running the world's best data and AI platform. We leap at every opportunity to solve technical challenges, striving to empower our customers with the best data and AI capabilities.

Summary:

Databricks is hiring a Senior Staff Machine Learning Engineer to play a key role in building our Generative AI platform and products, and in developing our team of software engineers.

You will:

• Serve as a technical lead, overseeing and supervising projects and engineers on the team.
• Play a leading hands-on role in the design and implementation of our ML infrastructure and GenAI platform software technologies
• Drive our technology vision and roadmap
• Establish software development best practices, and lead by example in applying them
• Develop our engineering organization and culture through hiring, mentoring, and feedback.

We look for:

• 8+ years of hands-on programming experience with at least one modern language such as Python, Go, or C++
• 8+ years of experience contributing to the architecture and design of large scale distributed systems and/or ML systems and tools
• Strong sense of software design and usability of ML systems
• Experience applying software engineering methodologies and best practices including coding standards, code reviews, build processes, testing, and security.
• Prior experience in developing public cloud services or open source ML software is an advantage.

We value candidates who are curious about all parts of the company's success and are willing to learn new skills and technologies along the way.